Date: 12/5/19
Time: 2:30 PM CST - 3:30 PM CST
Location: 5310 Chamberlin Hall
We hope you can join us!
This RSVP form: goo.gle/2WKWL2j
Abstract:
Running a planet-scale computer requires innovation for delivering storage, data processing, and ML computation at scale. Homer will describe some of Google's present challenges, and how teams at the Madison office have contributed unique solutions to meet those challenges. He’ll also cover what it's like to interview for Google, and how experience in research Physics is valued and applicable to a wide variety of ongoing work at Google.
About the Speaker:
Homer Wolfmeister received his Ph.D. in Experimental Particle Physics from the University of Wisconsin, Madison on ZEUS under Prof. Wesley Smith. Since leaving for industry, he's worked in machine learning for data analysis, real-time fraud-detection in payment security systems, and real-time anomaly detection in enterprise computing infrastructure. Since joining Google in 2018, he's focused on distributed caching for providing high data throughput. His experience in research physics was beneficial for all these positions.
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https://careers.google.com/privacy-policy/